Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add FTShare-Lab/FTShare-skill --skill northboundgit clone --depth 1 https://github.com/FTShare-Lab/FTShare-skillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ftshare-lab/ftshare-skill/northbound)<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/northbound"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/northbound/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ftshare-lab/ftshare-skill/northbound"><img src="https://agentmods.dev/badge/skills/ftshare-lab/ftshare-skill/northbound.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00043 | $0.00740 |
| Opus 5 | $0.00022 | $0.00370 |
| Sonnet 5 | $0.00009 | $0.00148 |
| Haiku 4.5 | $0.00004 | $0.00074 |
Grade A, and why
northbound scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
查询北向资金交易数据
接口说明
| 项目 | 说明 |
|---|---|
| 接口名称 | 查询北向资金交易数据 |
| 外部接口 | /api/v1/market/data/northbound |
| 请求方式 | GET |
| 适用场景 | 查询指定交易日北向资金（沪股通、深股通）交易汇总数据 |
请求参数
| 参数名 | 类型 | 是否必填 | 描述 | 取值示例 | 备注 |
|---|---|---|---|---|---|
date |
string | 是 | 交易日期 | 20250101 |
格式 YYYYMMDD |
执行方式
通过根目录的 run.py 调用（推荐）：
python <RUN_PY> northbound --date 20250101
<RUN_PY>为主SKILL.md同级的run.py绝对路径，参见主 SKILL.md 的「调用方式」说明。
响应结构
{
"code": 0,
"message": "success",
"data": {
"date": "20250101",
"currency": "CNY",
"total_amount": "100.50",
"channels": {
"SH": { "amount": "60.00", "trade_count": 10 },
"SZ": { "amount": "40.50", "trade_count": 8 }
}
}
}
顶层字段说明
| 字段名 | 类型 | 是否可为空 | 说明 |
|---|---|---|---|
code |
int | 否 | 业务状态码，0 表示成功 |
message |
string | 否 | 状态说明 |
data |
object | 否 | 北向资金数据 |
data 字段说明
| 字段名 | 类型 | 是否可为空 | 说明 |
|---|---|---|---|
date |
string | 否 | 交易日期 |
currency |
string | 否 | 币种（CNY） |
total_amount |
string | 否 | 北向资金合计成交额 |
channels |
object | 否 | 分市场通道数据 |
channels 字段说明
| 字段名 | 类型 | 是否可为空 | 说明 |
|---|---|---|---|
SH |
object | 否 | 沪股通数据 |
SH.amount |
string | 否 | 成交额 |
SH.trade_count |
int | 否 | 成交笔数 |
SZ |
object | 否 | 深股通数据 |
SZ.amount |
string | 否 | 成交额 |
SZ.trade_count |
int | 否 | 成交笔数 |
注意事项
date为必填参数，格式YYYYMMDD- 金额类字段以字符串格式返回
- 响应为信封结构（
code/message/data）
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 84 lines · 43 tokens per session scan A 488c7f361514
northbound is a skill published in the GitHub repository FTShare-Lab/FTShare-skill (63 stars, last pushed 2d ago), licensed MIT. It adds 43 tokens to every session and 740 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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